Tag: MXNet

This post is authored by Ilia Karmanov, Mathew Salvaris, Miguel Fierro, Danielle Dean, all Data Scientists at Microsoft. With this blog post, we are releasing a full version 1.0 of this repo, open-source on GitHub at: https://github.com/ilkarman/DeepLearningFrameworks. We believe deep-learning frameworks are like languages: Sure, many people speak English, but each language serves its own… Read more

This post is authored by Nagesh Pabbisetty, Partner Director of Program Management at Microsoft. Earlier this year, Microsoft CEO Satya Nadella shared his vision for Microsoft and AI, pointing to Microsoft’s beginnings as a tools company, and our current focus on democratizing AI by putting tools “in the hands of every developer, every organization, every… Read more

This post is authored by Udayan Kumar, Software Engineer at Microsoft. We are excited to offer a Windows Server 2016 version of our very popular Microsoft Azure Data Science Virtual Machine (DSVM). This new DSVM version is based on the latest Windows Server 2016 Data Center edition. We’ve added new tools and upgraded existing tools… Read more

Authored by Paul Shealy, Senior Software Engineer, and Gopi Kumar, Principal Program Manager, at Microsoft. Deep learning has received significant attention recently for its ability to create machine learning models with very high accuracy. It’s especially popular in image and speech recognition tasks, where the availability of massive datasets with rich information make it feasible… Read more

This post is by Miguel Fierro, Ilia Karmanov, Thomas Delteil, Andreas Argyriou, and Max Kaznady, all Data Scientists at Microsoft. Natural Language Processing (NLP) is one of the fields in which deep learning has made significant progress. Specifically, the area of text classification, where the objective is to categorize documents, paragraphs or individual sentences into… Read more

This post is authored by Viral B. Shah, co-creator of the Julia language and co-founder and CEO at Julia Computing, and Avik Sengupta, head of engineering at Julia Computing. The Julia language provides a fresh new approach to numerical computing, where there is no longer a compromise between performance and productivity. A high-level language that… Read more

As we kick off what will surely be another very exciting year of progress in artificial intelligence, machine learning and data science, we start with a quick recap of our “Top 10” most popular posts from the year just concluded. These were the posts that garnered the most number of page views from you in… Read more

This post was authored by Anusua Trivedi, Data Scientist, Microsoft and Jamie Olson, Analytics Solution Architect, Microsoft Deep learning is an exciting new space for predictive modeling and machine learning and I’ve previously written about a variety of different models and tools in my previous blogs. However, it can be intimidating to get started and… Read more

This post is by Miguel Fierro, Data Scientist, Max Kaznady, Data Scientist, Richin Jain, Solution Architect, Tao Wu, Principal Data Scientist Manager, and Andreas Argyriou, Data Scientist, at Microsoft. Deep learning has made a lot of strides in the computer vision subdomain of image classification in the past few years. This success has opened up… Read more

This post is authored by Paul Shealy, Senior Software Engineer, and Barnam Bora, Program Manager, at Microsoft. The Data Science Virtual Machine (DSVM) is a custom virtual machine image from Microsoft that comes pre-installed with popular data science tools for modeling and development activities. The DSVM is offered in both Windows and Linux editions. There’s… Read more